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Author |
Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook |
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Year |
2005 |
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1-73 |
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snow; snow leopard; snow-leopard; leopard; survey; conservation; populations; population; camera; camera trapping; trapping; Chinese |
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This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE. |
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The Snow Leopard Conservancy |
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Sonoma, California |
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Chinese |
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Chinese translation. |
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Call Number |
SLN @ rana @ 1015 |
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473 |
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Author |
Jackson, R.; Fox, J.L. |
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Title |
Report on Fifth Slims Training Workshop (Nepal) |
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Miscellaneous |
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2000 |
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Snow Line |
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xvii |
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6-15 |
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Slims; Nepal; training; techniques; Gps; field-work; surveys; Tibet; habitat; China; hunting; poaching; livestock; population; Shey-Phoksundo; parks; protected-area; reserves; annapurna; Dhorpatan; Manaslu; Sagarmatha; Langtang; Islt; Wwf; Hmg; Dnpwc; browse; 4460 |
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Nepal's snow leopards (Uncia uncia) are mostly found along the northern border with Tibet (China). The largest populations are in Dolpa, Mugu, Manang, and Myagdi Districts. Potential habitat totals about 30,000 square kilometers. Numbers are estimated at 300-500, but surveys are urgently needed to confirm this rough guess. Like elsewhere, the primary threats center on poaching, depletion of natural prey, livestock depredation and resultant retributive killing of snow leopards by herders, and the lack of public awareness and support for conserving snow leoaprds, especially among local herders. |
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International Snow Leopard Trust |
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Seattle |
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SLN @ rana @ 434 |
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466 |
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Author |
Khan, A. |
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Title |
Snow Leopard: Integral to Chitral Gol National Park |
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Miscellaneous |
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1998 |
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xvi |
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5 |
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Chitral-Gol; Pakistan; survey; habitat; seasonal-occurence; status; Slims; Islt; feces; pugmarks; browse; 4490 |
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Islt |
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Seattle |
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Full Text at URLJournal Title: Snow Line |
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SLN @ rana @ 437 |
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529 |
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Author |
Jackson, R. |
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Bhutan Workshop: Thimpu, Land of the Thunder Dragon |
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1997 |
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xv |
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1 |
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Bhutan; Himalaya; Slims; surveys; Islt; Jigme-Dorgi; poisoning; herders; browse; 4510 |
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Islt |
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Seattle, Wa |
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Full text at URLJournal Title: Snowline |
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SLN @ rana @ 439 |
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459 |
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Author |
Koshkarev, E. |
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Title |
Snow leopard along the border of Russia and Mongolia |
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1998 |
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Cat News |
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28 |
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12-14 |
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behavior; census; survey methods; desert-habitat; distribution; ecosystems; endangered; threatened species; home-range; territory; mammals; montane; Russia; Mongolia; scat-analysis; tracks; tracking; status; Hovsogul; Sayan; siberia; Hovsogol; browse; survey; methods; desert; habitat; threatened; species; home; range; scat; analysis; 550 |
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The author discusses the distribution of snow leopards along the border of Russia and Mongolia. The range extension of the leopard indicates their ability to cross desert areas that separate mountain habitats.habitat; range extension; scat analysis; techniques; tracks/tracking | snow leopard |
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Full Text at URL: Inst. Biol., Irkutsk Univ., Russia , data base: Wildlife Review AbstractsDocument Type: English |
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Call Number |
SLN @ rana @ 339 |
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565 |
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Author |
Jackson, R.; Fox, J.L. |
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Title |
Snow Leopard Conservation: Accomplishments and Research Priorities |
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Conference Article |
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1997 |
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128-144 |
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Slims; Islt; zoos; zoo; captivity; genetics; home-range; predator; prey; parks; park; reserve; reserves; refuge; Mongolia; China; India; Nepal; Khunjerab; surveys; survey; transect; habitat; scrap; marking; spray; Myanmar; Burma; blue-sheep; ibex; conservation; ecology; management; livestock; herders; Dna; Icimod; Himalaya; protected-area; scrape; blue; sheep; browse; international snow leopard trust; home range; home; range; protected area; protected areas; protected; area; areas; 2900 |
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Islt |
Place of Publication |
Pakistan |
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R.Jackson; A.Ahmad |
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Full Text at URLTitle, Monographic: Eighth International Snow Leopard SymposiumPlace of Meeting: PakistanDate of Copyright: 1997 |
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SLN @ rana @ 399 |
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458 |
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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. |
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Title |
Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. |
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Journal Article |
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Year |
2021 |
Publication |
Conservation Genetics |
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Snow leopard, Panthera uncia, Microsatellites, Heterozygosity, Population structure, Noninvasive survey, Scat, Subspecies |
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The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed. |
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1633 |
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Author |
Durbach, I., Borchers, D., Sutherland, C., Sharma, K. |
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Title |
Fast, flexible alternatives to regular grid designs for spatial
capture–recapture. |
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Research Article |
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Year |
2020 |
Publication |
Methods in Ecology and Evolution |
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1-13 |
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camera trap, population ecology,sampling, spatial capture-recapture, surveys |
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Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the
locations at which animals were detected (their spatial capture
histories) to estimate animal density. Despite the often large expense
and effort involved in placing detectors in a landscape, there has been
relatively little work on how detectors should be located. A natural
criterion is to place traps so as to maximize the precision of density
estimators, but the lack of a closed-form expression for precision has
made optimizing this criterion computationally demanding. 2. Recent
results by Efford and Boulanger (2019) show that precision can be well
approximated by a function of the expected number of detected
individuals and expected number of recapture events, both of which can
be evaluated at low computational cost. We use these results to develop
a method for obtaining survey designs that optimize this approximate
precision for SCR studies using count or binary proximity detectors, or
multi-catch traps. 3. We show how the basic design protocol can be
extended to incorporate spatially varying distributions of activity
centres and animal detectability. We illustrate our approach by
simulating from a camera trap study of snow leopards in Mongolia and
comparing estimates from our designs to those generated by regular or
optimized grid designs. Optimizing detector placement increased the
number of detected individuals and recaptures, but this did not always
lead to more precise density estimators due to less precise estimation
of the effective sampling area. In most cases, the precision of density
estimators was comparable to that obtained with grid designs, with
improvement in some scenarios where approximate CV(¬D) < 20% and density
varied spatially. 4. Designs generated using our approach are
transparent and statistically grounded. They can be produced for survey
regions of any shape, adapt to known information about animal density
and detectability, and are potentially easier and less costly to
implement. We recommend their use as good, flexible candidate designs
for SCR surveys when reasonable knowledge of model parameters exists. We
provide software for researchers to construct their own designs, in the
form of updates to design functions in the r package oSCR. |
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Khatiwada, J.R.; Chalise, M.K.; Kyes, R. |
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Title |
Survey of Snow Leopard (Uncia uncia) and Blue Sheep (Pseudois nayaur) populations in the Kangchenjunga Conservation Area (KCA), Nepal. Final report |
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2007 |
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1-13 |
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survey; snow; snow leopard; snow-leopard; leopard; uncia; Uncia uncia; Uncia-uncia; blue; blue sheep; blue-sheep; sheep; Pseudois; pseudois nayaur; Pseudois-nayaur; nayaur; populations; population; conservation; area; Nepal; Report; study; information; management; system; Slims; relative abundance; abundance; transects; transect; length; sign; scrapes; scrape; 20; feces; scent; pugmarks; hairs; Hair; using; livestock; livestock depredation; livestock-depredation; depredation; patterns; herders; herder; snow leopards; snow-leopards; leopards; Animals; Animal |
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This study was carried out in the Kangchenjunga Conservation Area (KCA), Eastern Nepal from Feb – Nov 2007. We used the Snow Leopard Information Management System, SLIMS (second order survey technique) to determine the relative abundance of snow leopard in the upper part of KCA. Altogether, 36 transects (total length of 15.21 km) were laid down in the major three blocks of KCA. 104 Signs (77 scrapes, 20 feces, 2 Scent mark, 3 Pugmarks and 2 hairs) were recorded. Fixed-point count method was applied for blue sheep from appropriate vantage points. We counted total individual in each herd using 8x42 binocular and 15-60x spotting scope. A total of 43 herds and 1102 individuals were observed in the area. The standard SLIMS questionnaire was conducted to find out relevant information on livestock depredation patterns. Out of 35 households surveyed in KCA, 48% of herders lost livestock due to snow leopards. A total of 21 animals were reportedly lost due to snow leopards from August to September 2007. |
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Project funded by Snow Leopard Network's Snow Leopard Conservation Grant Program. |
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SLN @ rana @ 1070 |
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533 |
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Khan, A. |
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Title |
Snow Leopard Occurrence in Mankial Valley, Swat: Final report |
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Report |
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2004 |
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Abbreviated Journal |
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1-17 |
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snow; snow leopard; snow-leopard; leopard; valley; Report; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; ecosystem; habitat; species; plants; plant; Animals; Animal; birds; research; action; study; survey; Support; Islt; community; Organization; surveys; winter; information; local; sign; pugmarks; feces; scrapes; scrape; prey; prey species; prey-species; recent; population; markhor; hunting; Culture; Pressure; areas; area; feeding; livestock; burning; decline |
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Mankial is a sub-valley of the Swat Kohistan. Temperate ecosystem of the valley is intact to a greater extent, which provides habitat to a variety of species of plants, animals and birds. Snow leopard is reported from the valley. To confirm its occurrence, the HUJRA (Holistic Understanding for Justified Research and Action), conducted the study titled “Snow Leopard Survey in Mankial Valley, district Swat, NWFP”. The author provided technical support, while ISLT (The International Snow Leopard Trust) funded the project under its small grants program. The World Wide Fund for Nature-Pakistan (WWF-Pakistan) and the Mankial Community Organization (MCO) facilitated surveys under the project. Surveys revealed that Snow leopard visits parts of the Mankial valley in winter months. Information from the local community shows that Snow leopard remains in the Serai (an off-shoot of the Mankial Valley) from early winter to early spring. Intensive surveys of the prime snow leopard winter habitat in the valley found several snow leopard signs including pugmarks, feces, and scrapes. The study also found occurrence of prey species through indirect evidence though. However, information from the local community confirmed that in the recent past there was a good population of markhor in the valley, which is now reduced to less than 50, mostly due to hunting and habitat disturbance. Hunting is part of the local culture and lifestyle. During winter months hunting pressure is low, as most of the local community migrates to warmer plain areas than Mankial Valley. However, those who live in the area lop oak branches for feeding their livestock and cut trees for burning, in addition to hunting prey species of snow leopard. This has resulted in stunted oak vegetation in most of the lower reaches of the valley and decline of the markhor population. |
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Project funded by International Snow Leopard Trust Small Grants Program, 2003. |
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Call Number |
SLN @ rana @ 1069 |
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530 |
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